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Gedung Fakultas Ilmu Komputer 2, 2nd Fl. Faculty of Computer Science, UPN "Veteran" Jawa Timur Jl. Rungkut Madya No.1, Gn. Anyar, Kec. Gn. Anyar, Surabaya, Jawa Timur 60294, Indonesia
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ITIJ
Published by Universitas Pembangunan Nasional Veteran Jawa Timur
ISSN : -     EISSN : 30253152     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Information Technology International Journal (ITIJ) is international referred journal with the objectives to explore, develop, and elucidate the knowledge of Information Technology, to keep practitioners and researchers informed on current issues and best practices, as well as serving as a platform for the exchange of ideas, knowledge, and expertise among technology researchers and practitioners.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 3 No. 2 (2025): Information Technology International Journal" : 5 Documents clear
3D S-UNET an Efficient Architecture for 3 Dimensional Segmentation of Brain Tumors on MRI Images Wibowo, M Sadewa Wicaksana; Muhammad Shodiq; Bety Qorry Aina; Angga Lisdiyanto
Information Technology International Journal Vol. 3 No. 2 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i2.53

Abstract

One of the deadliest diseases worldwide is brain tumors. In identifying brain tumors, experts perform a subjective analysis that requires considerable time. Previous research has developed automatic 3D brain tumor segmentation using Deep Learning (DL) approaches such as 3D UNet and 3D ResNet. However, these approaches demand significant computational resources. In resource-constrained settings, key criteria for determining the best architecture include memory consumption, inference speed, and accuracy. Therefore, this study introduces the development of the 3D S-UNet architecture, constructed by combining 3D ShuffleNet-V2 as an encoder and 3D UNet as a decoder. The integration of these 3D data processors allows the architecture to be more precise in identifying brain tumor locations and capture richer feature values compared to 2D data processing. The researchers compare 3D S-UNet with another Lightweight Deep Learning architecture, 3D Mobile-UNet. The results show that 3D S-UNet has a smaller memory consumption, using 0.56GB for the highest allocated memory and 1.71GB for reserved memory. In terms of inference speed, 3D S-UNet is faster compared to the other three architectures, achieving a speed of 135.881 milliseconds. 3D S-UNet demonstrates favorable results with a Whole Tumor (WT) dice score, sensitivity, and specificity of 83%, 85%, and 88%, respectively.
Provincial Segmentation Based on District Road Stability in Indonesia: K-Means and Hierarchical Clustering Approach Heldiansyah; Novi Shintia; Rustaniah; Hadi Gunawan; Muchtar Salim
Information Technology International Journal Vol. 3 No. 2 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i2.55

Abstract

This study segments Indonesian provinces based on district road stability characteristics using K-Means and Hierarchical Clustering approaches. We analyzed district road stability data from 34 provinces during 2016-2023, including total road length, stable road conditions, and unstable road conditions. Data preprocessing included cleaning, normalization using min-max scaling, and feature selection. Results showed optimal clustering with k=4, achieving silhouette coefficient of 0.647 for K-Means and 0.623 for Hierarchical Clustering. Four distinct provincial clusters emerged: Optimal Infrastructure Provinces (>80% stability), Developing Infrastructure Provinces (60-80% stability), Infrastructure Challenge Provinces (<60% stability with extensive networks), and Limited Infrastructure Provinces (small networks with variable stability). The Adjusted Rand Index of 0.78 demonstrated high agreement between methods. This segmentation provides evidence-based insights for targeted infrastructure policy formulation in Indonesia.
Usability and User Experience Evaluation on Extracurricular Website (SINEMA) Implementation using SUS and UEQ Methods Wirdayanti; AKBAR, MUHAMMAD; Sabarudin Saputra; Deni Luvi Jayanto; Sri Khaerawati Nur; Nouval Trezandy; Bakri
Information Technology International Journal Vol. 3 No. 2 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i2.57

Abstract

The rapid integration of web-based platforms in higher education highlights the importance of usability and user experience in supporting students’ extracurricular activities. This study evaluates the usability and user experience of the Student Extracurricular Information System (SINEMA) developed at Tadulako University. A total of 99 respondents participated, selected from a population of 5,581 active users through Slovin’s formula. Two standardized instruments were applied: the System Usability Scale (SUS) to capture global usability perceptions and the User Experience Questionnaire (UEQ) to assess six dimensions of user experience. The SUS results indicate a mean score of 76.06, which falls within Grade B and the “Good” category, exceeding the global benchmark. This suggests that the system is generally usable, although certain respondents reported minor challenges requiring further improvement. The UEQ results show that Perspicuity (1.94), Dependability (1.94), and Stimulation (1.93) achieved the “Excellent” category, reflecting clarity, reliability, and engagement. Meanwhile, Attractiveness (1.65), Efficiency (1.58), and Novelty (1.72) were rated “Good,” highlighting positive perceptions but also opportunities for optimization. Overall, the findings demonstrate that SINEMA effectively supports extracurricular management with satisfactory usability and strong user experience. The study contributes novelty by integrating SUS and UEQ for comprehensive evaluation within a higher education extracurricular context. Recommendations include enhancing efficiency and novelty to elevate user satisfaction and system adoption.
Designing Reborn Mental Health Applications Using Lean UX Methods Rizal Ramdhani, Muhammad; Muhammad Yan Handita
Information Technology International Journal Vol. 3 No. 2 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Faster technology is essential today in terms of providing and presenting information sources. The rise of social media and all its sources and platforms is one of the drivers for this research. Mental health issues further form the background of this research. The Reborn app promotes the use of technology and is designed for people with mental health issues who need quick advice and professional treatment. The Lean UX model is a good method because it helps to achieve success and success faster when designing apps. The results obtained in this research constitute the final prototype and will be verified in terms of criticism and suggestions through a questionnaire as part of the evaluation of the Reborn app. Positive UX and good usability are essential for the further development of the application prototype. the results of the UI usability value are excellent with an SUS score of 82, which is above average and accepted by users
GPS-Based Digital Business Technology Innovation in Community Health Centers: Application Development for Health Staff Performance Management Fitrani, Laqma; Angga Lisdiyanto
Information Technology International Journal Vol. 3 No. 2 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Attendance management in community health centers (Puskesmas) often relies on manual procedures that are prone to inaccuracy, limited traceability, and weak verification mechanisms, particularly for staff performing field-based duties. These limitations hinder the effectiveness of performance monitoring and reduce administrative efficiency. This study aims to develop a GPS-based digital attendance system designed to enhance accuracy, accountability, and transparency in monitoring employee presence at Puskesmas Mantup. The research methodology comprises four stages: Observation to identify operational constraints; Planning and Analysis to formulate functional and non-functional requirements; System Design to model data structures, user interfaces, and workflow diagrams; and Implementation to develop the application using web technologies integrated with geolocation services. System functionality was validated through Blackbox Testing to ensure reliability across key processes, including login authentication, location validation, shift scheduling, and automated recording of attendance events. The results indicate that the system successfully performs real-time GPS verification, prevents false check-ins outside the designated radius, and supports both shift and non-shift attendance schemes. Additionally, the dashboard and reporting features provide comprehensive visibility for administrators in evaluating employee performance. Overall, the GPS-based attendance system substantially improves monitoring accuracy and operational efficiency, offering a scalable solution for adoption in primary healthcare settings.

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